@inproceedings{a2ea67fceeb04693b429cc2ad78dd051,
title = "Human-Centered and Explainable Artificial Intelligence in Nuclear Operations",
abstract = "Nuclear power plants in the United States are critical to the nation?s energy security, accounting for 20% of all electricity produced for the power grid. As energy needs grow, 100 gigawatts of additional nuclear power will be necessary by 2050, more than double the current capacity. Realizing this target requires cutting-edge technology like artificial intelligence (AI) and machine learning (ML) that can bring about significant increases in the level of automation. Human-centered AI (HCAI) is a combination of human-centered design (human factors, human-in-the-loop, etc.) with AI/ML to help produce an efficient and reliable system with full consideration for human engagement. This paper provides a comprehensive and novel discussion of HCAI considerations in nuclear power, introducing unique applications for the existing fleet as well as new advanced reactor designs. We include real-life use cases of AI applications to work management processes at nuclear power sites and highlight lessons learned for HCAI.",
keywords = "human-centered AI, Artificial intelligence, Nuclear power",
author = "Anna Hall and Patrick Murray and Boring, {Ronald L.} and Vivek Agarwal",
note = "doi: 10.1177/10711813241276463",
year = "2024",
month = aug,
doi = "10.1177/10711813241276463",
language = "American English",
series = "Proceedings of the Human Factors and Ergonomics Society",
publisher = "SAGE Publications Inc.",
pages = "10711813241276463",
booktitle = "Proceedings of the 68th HFES International Annual Meeting",
}